Causal effect inference with deep latent-variable models

© 2017 Neural information processing systems foundation. All rights reserved. Learning individual-level causal effects from observational data, such as inferring the most effective medication for a specific patient, is a problem of growing importance for policy makers. The most important aspect of i...

詳細記述

書誌詳細
フォーマット: 論文
言語:English
出版事項: 2021
オンライン・アクセス:https://hdl.handle.net/1721.1/137336